Efficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks

efficient parameters selection for cntfet modelling using artificial neural networks

in this article different types of artificial neural networks (ann) were used for cntfet (carbon nanotube transistors) simulation. cntfet is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. in determining the accurate output drain current of cntfet, time lapsed and accuracy of different simulation methods were compared. the training data for...

Evaluation of the Effective Electrospinning Parameters Controlling Kefiran Nanofibers Diameter Using Modelling Artificial Neural Networks

Objective(s): This paper investigates the validity of Artificial Neural Networks (ANN) model in the prediction of electrospun kefiran nanofibers diameter using 4 effective parameters involved in electrospinning process. Polymer concentration, applied voltage, flow rate and nozzle to collector distance were used as variable parameters to design various sets of electrospinning ex...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Rainfall-runoff modelling using artificial neural networks (ANNs): modelling and understanding

In recent years, artificial neural networks (ANNs) have become one of the most promising tools in order to model complex hydrological processes such as the rainfall-runoff process. In many studies, ANNs have demonstrated superior results compared to alternative methods. ANNs are able to map underlying relationship between input and output data without prior understanding of the process under in...

Effective Feature Selection for Pre-Cancerous Cervix Lesions Using Artificial Neural Networks

Since most common form of cervical cancer starts with pre-cancerous changes, a flawless detection of these changes becomes an important issue to prevent and treat the cervix cancer. There are 2 ways to stop this disease from developing. One way is to find and treat pre-cancers before they become true cancers, and the other is to prevent the pre-cancers in the first place. The presented approach...

Modelling Pedestrians Using Artificial Neural Networks

There has been an increasing interest in pedestrian detection in the last decade to save the numerous deaths caused by accidents in which pedestrians are involved. Vehicle manufacturers are addressing these challenges by looking into extendable vehicle body structures , to be activated on first impact with a pedestrian. A complementary approach is to focus on sensor based solutions, which enabl...